Biography
I am an R&D Software Engineer at NEURA Robotics, where I architect and develop advanced AI solutions for quadrupedal robots.
Previously, I was a Postdoctoral Researcher at the Lincoln Centre for Autonomous Systems (L-CAS), University of Lincoln (UK), working on the TopFleets project in partnership with JABAS AI. I hold a Ph.D. in AI and Robotics from the same institution, where my research focused on causal inference frameworks to enhance robot decision-making in human-shared environments, advised by Prof. Nicola Bellotto and Prof. Marc Hanheide.
Prior to my time in the UK, I graduated from Sapienza University of Rome (Italy) with an M.Sc. in Control Engineering (advised by Prof. Antonio Carcaterra) and a B.Sc. in Computer Science and Control Engineering (advised by Prof. Alessandro De Luca).
My professional background also includes industrial experience as a Test Engineer at Ferrari and a Software Specialist at Metapack Engineering.
. Research & Development
Current Focus: Quadrupedal AI
At NEURA Robotics, I focus on developing new AI-driven behaviors for legged systems.
Robot Fleet Coordination
As part of the TopFleets project (with JABAS AI), I designed multi-robot coordination algorithms for heterogeneous fleets, optimizing path planning and collision avoidance and developing real-time fleet management dashboards.
Causal Inference for Robotics
During my Ph.D. and my work on the European H2020 DARKO project, I explored how causal models can improve robot prediction and decision-making in dynamic, human-populated environments.